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Avrupa Bilim ve Teknoloji Dergisi
Article . 2019 . Peer-reviewed
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Q-Taylor series method for solving fuzzy multiobjective linear fractional programming problem

Authors: ÇEVİKEL, Adem Cengiz;

Q-Taylor series method for solving fuzzy multiobjective linear fractional programming problem

Abstract

In this work, we present a q -Taylor series method for fuzzy multiobjective linear fractional programming problems (FMOLFPPs). In q -calculus, q -Taylor series is a q -series expansion of a function with respect to q -derivatives. In the proposed approach, membership functions are defined to be piecewise linear. Membership functions associated with each objective of fuzy multiobjective linear fractional programming problem transformed by using q -Taylor series are unified. Thus, the problem is reduced to a single objective. To show the efficiency of the q -Taylor series method, we applied the method to some problems.

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Keywords

Engineering, Mühendislik, Fuzzy Programming;Fuzzy objective goals;Multiobjective linear fractional programming;Fuzzy multiobjective linear fractional programming;Q-Calculus;Q-Taylor series, Bulanık Proğramlama;Bulanık amaçlı hedefler;Çok amaçlı lineer kesirli programlama;Bulanık çok amaçlı lineer kesirli proğramlama;Q-Analiz;Q-Taylor serisi

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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